activity
20172026
most citedA General Bayesian Framework for Foreground Modelling and Chromaticity Correction for Global 21cm Experiments

78 citations · 769 across the 50 of their papers we have counts for

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Showing 2022Show all

7 papers · 1 filter

astro-ph.IM2022★ 14 cited

Bayesian approach to radio frequency interference mitigation

S. A. K. Leeney, W. J. Handley, E. de Lera Acedo

Interfering signals such as Radio Frequency Interference from ubiquitous satellite constellations are becoming an endemic problem in fields involving physical observations of the e…

astro-ph.IM2022★ 12 cited

Characterization Of Inpaint Residuals In Interferometric Measurements of the Epoch Of Reionization

Michael Pagano, Jing Liu, Adrian Liu +75

Radio Frequency Interference (RFI) is one of the systematic challenges preventing 21cm interferometric instruments from detecting the Epoch of Reionization. To mitigate the effects…

astro-ph.CO2022★ 31 cited

Use of Time Dependent Data in Bayesian Global 21cm Foreground and Signal Modelling

Dominic Anstey, Eloy de Lera Acedo, Will Handley

Global 21cm cosmology aims to investigate the cosmic dawn and epoch of reionisation by measuring the sky averaged HI absorption signal, which requires, accurate modelling of, or co…

astro-ph.CO2022★ 9 cited

Marginal Bayesian Statistics Using Masked Autoregressive Flows and Kernel Density Estimators with Examples in Cosmology

Harry Bevins, Will Handley, Pablo Lemos +3

Cosmological experiments often employ Bayesian workflows to derive constraints on cosmological and astrophysical parameters from their data. It has been shown that these constraint…

astro-ph.IM2022★ 1 cited

Marginal Post Processing of Bayesian Inference Products with Normalizing Flows and Kernel Density Estimators

Harry T. J. Bevins, William J. Handley, Pablo Lemos +4

Bayesian analysis has become an indispensable tool across many different cosmological fields including the study of gravitational waves, the Cosmic Microwave Background and the 21-…

astro-ph.CO2022★ 10 cited

Bayesian evidence-driven likelihood selection for sky-averaged 21-cm signal extraction

K. H. Scheutwinkel, W. Handley, E. de Lera Acedo

We demonstrate that the Bayesian evidence can be used to find a good approximation of the ground truth likelihood function of a dataset, a goal of the likelihood-free inference (LF…